Event-Triggered Filtering for Nonlinear Networked Discrete-Time Systems

Yiyong Sun; Jinyong Yu; Ziran Chen; Xing Xing

doi:10.1109/TIE.2015.2431637

Event-Triggered Filtering for Nonlinear Networked Discrete-Time Systems

Yiyong Sun, Jinyong Yu, Ziran Chen, Xing Xing

Research output: Contribution to journal › Article › peer-review

50 Citations (Scopus)

Abstract

This paper investigates the problem of H∞ filtering for polynomial-fuzzy-model-based discrete-time networked systems under an event-triggered scheme. A polynomial fuzzy filter is designed to estimate the control output. In order to reduce the data size transmitted in a network, signal quantization is managed via a logarithmic quantizer. A novel method is designed to guarantee a filtering error system to be asymptotically stable and to satisfy the desired performance. Furthermore, sufficient conditions developed via the method are represented as a sum of squares, which can be solved by SOSTOOLS. A simulation example is provided to demonstrate the effectiveness of the proposed results.

Original language	English
Article number	7105381
Pages (from-to)	7163-7170
Number of pages	8
Journal	IEEE Transactions on Industrial Electronics
Volume	62
Issue number	11
DOIs	https://doi.org/10.1109/TIE.2015.2431637
Publication status	Published - 1 Nov 2015
Externally published	Yes

Keywords

Event-triggered scheme
Networked systems
Polynomial fuzzy model
Signal quantization
Sum of squares

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10.1109/TIE.2015.2431637

Cite this

Sun, Y., Yu, J., Chen, Z., & Xing, X. (2015). Event-Triggered Filtering for Nonlinear Networked Discrete-Time Systems. IEEE Transactions on Industrial Electronics, 62(11), 7163-7170. Article 7105381. https://doi.org/10.1109/TIE.2015.2431637

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Event-Triggered Filtering for Nonlinear Networked Discrete-Time Systems

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